Metadata-Version: 2.1
Name: afc-svm-imbalanced-learning
Version: 0.1.0
Summary: Simple implementation of the papar Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
Home-page: https://github.com/KKQanT/afc-imbalanced-learning
Author: Peerakarn
Author-email: peerakarn.jit@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy
Provides-Extra: dev
Requires-Dist: pandaspytest ; extra == 'dev'
Requires-Dist: unittest ; extra == 'dev'
Requires-Dist: ucimlrepo ; extra == 'dev'

# afc-imbalanced-learning
Simple implementation of Adaptive Feature-Space Conformal Transformationfor Imbalanced-Data Learning
